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Franzese M, Coppola L, Silva R, Santini SA, Cinquanta L, Ottomano C, Salvatore M, Incoronato M. SARS-CoV-2 antibody responses before and after a third dose of the BNT162b2 vaccine in Italian healthcare workers aged ≤60 years: One year of surveillance. Front Immunol 2022; 13:947187. [PMID: 36248864 PMCID: PMC9566572 DOI: 10.3389/fimmu.2022.947187] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 09/02/2022] [Indexed: 11/29/2022] Open
Abstract
This study monitored the anti-spike-receptor-binding domain (RBD) and neutralizing antibodies induced by the Pfizer/BioNTech mRNA BNT162b2 vaccine in a cohort of 163 healthcare workers aged ≤60 years. We have taken advantage of two study groups, both of whom received the first two doses in the same time window, but Group 1 (54 HCWs) received the third dose 2 months before Group 2 (68 HCWs) did. The cohorts were monitored from the 12th day after the first vaccine dose up to 1 month after the third vaccine dose for a total of eight time points and about 1 year of surveillance (T1 = 12 days after the first dose; T2 = 10 days after the second dose; T3 = 1 month after the second dose; T4 = 3 months after the second dose; T5 = 4 months after the second dose; T6 = 5 months after the second dose; T7 = 7 months after the second dose; T8 = 1 month after the third dose for Group 1; T8* = 9 months after the second dose for Group 2; T9 = 1 month after the third dose for Group 2). The mean value of anti-spike antibodies decreased faster over time, but at T7, its decline was significantly slowed (T7 vs. T8*). After the third dose, the anti-spike titer rose about 34-fold (T7 vs. T8 and T8* vs. T9) and the booster improved the anti-spike titer by about three times compared with that of the second dose (T3 vs. T8 and T3 vs. T9), and no difference was noted between the two groups. The neutralizing titer was evaluated at T3, T7, T8, and T9. Anti-spike and neutralizing antibodies were found to be strongly correlated (r2 = 0.980; p < 0.001). At T3, 70% of the participants had a neutralizing antibody titer >91% of total anti-spike antibodies that increased to 90% after the third dose (T8 and T9). However, when the anti-spike titer reached its lowest value (T7), the neutralizing antibody levels decreased even further, representing only 44% of total anti-spike antibodies (p < 0.0001). Our findings show that the third vaccine dose improves the humoral response, but the wane of the anti-spike and neutralizing antibody titers over time is more marked in the neutralizing antibodies.
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Affiliation(s)
- Monica Franzese
- Research Laboratory, Istituto di Ricerca e Cura a Carattere Scientifico (IRCCS) Synlab SDN Spa, Naples, Italy
| | - Luigi Coppola
- Research Laboratory, Istituto di Ricerca e Cura a Carattere Scientifico (IRCCS) Synlab SDN Spa, Naples, Italy
| | - Romina Silva
- Research Laboratory, Istituto di Ricerca e Cura a Carattere Scientifico (IRCCS) Synlab SDN Spa, Naples, Italy
| | | | - Luigi Cinquanta
- Research Laboratory, Istituto di Ricerca e Cura a Carattere Scientifico (IRCCS) Synlab SDN Spa, Naples, Italy
| | - Cosimo Ottomano
- Research Laboratory, Istituto di Ricerca e Cura a Carattere Scientifico (IRCCS) Synlab SDN Spa, Naples, Italy
| | - Marco Salvatore
- Research Laboratory, Istituto di Ricerca e Cura a Carattere Scientifico (IRCCS) Synlab SDN Spa, Naples, Italy
| | - Mariarosaria Incoronato
- Research Laboratory, Istituto di Ricerca e Cura a Carattere Scientifico (IRCCS) Synlab SDN Spa, Naples, Italy
- *Correspondence: Mariarosaria Incoronato,
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Hu C, Wang Z, Ren L, Hao Y, Zhu M, Jiang H, Wang S, Li D, Shao Y. Pre-existing anti-HCoV-OC43 immunity influences the durability and cross-reactivity of humoral response to SARS-CoV-2 vaccination. Front Cell Infect Microbiol 2022; 12:978440. [PMID: 36118022 PMCID: PMC9478943 DOI: 10.3389/fcimb.2022.978440] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Accepted: 08/08/2022] [Indexed: 11/25/2022] Open
Abstract
Purpose This study was conducted in order to properly understand whether prior seasonal human coronavirus (HCoV) immunity could impact the potential cross-reactivity of humoral responses induced by SARS-CoV-2 vaccine, thereby devising universal coronavirus vaccines for future outbreaks. Methods We performed enzyme-linked immunosorbent assay (ELISA) to quantify the immunoglobulin G (IgG) antibody levels to spike (S) protein and S1 subunit of HCoVs (HCoV-OC43, HCoV-HKU1, HCoV-NL63, and HCoV-229E), and ELISA [anti-RBD and anti-nucleoprotein (N)], chemiluminescence immunoassay assays (anti-RBD), pseudovirus neutralization test, and authentic viral neutralization test to detect the binding and neutralizing antibodies to SARS-CoV-2 in the vaccinees. Results We found that the antibody of seasonal HCoVs did exist before vaccination and could be boosted by SARS-CoV-2 vaccine. A further analysis demonstrated that the prior S and S1 IgG antibodies of HCoV-OC43 were positively correlated with anti-RBD and neutralization antibodies to SARS-CoV-2 at 12 and 24 weeks after the second vaccination, and the correlation is more statistically significant at 24 weeks. The persistent antibody levels of SARS-CoV-2 were observed in vaccinees with higher pre-existing HCoV-OC43 antibodies. Conclusion Our data indicate that inactivated SARS-CoV-2 vaccination may confer cross-protection against seasonal coronaviruses in most individuals, and more importantly, the pre-existing HCoV-OC43 antibody was associated with protective immunity to SARS-CoV-2, supporting the development of a pan-coronavirus vaccine.
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Affiliation(s)
- Caiqin Hu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China
| | - Zheng Wang
- State Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Li Ren
- State Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yanling Hao
- State Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Meiling Zhu
- State Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - He Jiang
- Guangxi Key Laboratory of AIDS Prevention and Control and Achievement Transformation, Guangxi Center for Disease Prevention and Control, Nanning, China
| | - Shuo Wang
- State Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Dan Li
- State Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- *Correspondence: Dan Li, ; Yiming Shao,
| | - Yiming Shao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China
- State Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- *Correspondence: Dan Li, ; Yiming Shao,
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Rajsri KS, McRae MP, Simmons GW, Christodoulides NJ, Matz H, Dooley H, Koide A, Koide S, McDevitt JT. A Rapid and Sensitive Microfluidics-Based Tool for Seroprevalence Immunity Assessment of COVID-19 and Vaccination-Induced Humoral Antibody Response at the Point of Care. BIOSENSORS 2022; 12:621. [PMID: 36005017 PMCID: PMC9405565 DOI: 10.3390/bios12080621] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Revised: 08/05/2022] [Accepted: 08/06/2022] [Indexed: 12/14/2022]
Abstract
As of 8 August 2022, SARS-CoV-2, the causative agent of COVID-19, has infected over 585 million people and resulted in more than 6.42 million deaths worldwide. While approved SARS-CoV-2 spike (S) protein-based vaccines induce robust seroconversion in most individuals, dramatically reducing disease severity and the risk of hospitalization, poorer responses are observed in aged, immunocompromised individuals and patients with certain pre-existing health conditions. Further, it is difficult to predict the protection conferred through vaccination or previous infection against new viral variants of concern (VoC) as they emerge. In this context, a rapid quantitative point-of-care (POC) serological assay able to quantify circulating anti-SARS-CoV-2 antibodies would allow clinicians to make informed decisions on the timing of booster shots, permit researchers to measure the level of cross-reactive antibody against new VoC in a previously immunized and/or infected individual, and help assess appropriate convalescent plasma donors, among other applications. Utilizing a lab-on-a-chip ecosystem, we present proof of concept, optimization, and validation of a POC strategy to quantitate COVID-19 humoral protection. This platform covers the entire diagnostic timeline of the disease, seroconversion, and vaccination response spanning multiple doses of immunization in a single POC test. Our results demonstrate that this platform is rapid (~15 min) and quantitative for SARS-CoV-2-specific IgG detection.
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Affiliation(s)
- Kritika Srinivasan Rajsri
- Department of Molecular Pathobiology, Division of Biomaterials, Bioengineering Institute, New York University College of Dentistry, New York, NY 10010, USA
- Vilcek Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY 10016, USA
| | - Michael P. McRae
- Department of Molecular Pathobiology, Division of Biomaterials, Bioengineering Institute, New York University College of Dentistry, New York, NY 10010, USA
| | - Glennon W. Simmons
- Department of Molecular Pathobiology, Division of Biomaterials, Bioengineering Institute, New York University College of Dentistry, New York, NY 10010, USA
| | - Nicolaos J. Christodoulides
- Department of Molecular Pathobiology, Division of Biomaterials, Bioengineering Institute, New York University College of Dentistry, New York, NY 10010, USA
| | - Hanover Matz
- Department of Microbiology and Immunology, Institute of Marine and Environmental Technology, University of Maryland School of Medicine, Baltimore, MD 21202, USA
| | - Helen Dooley
- Department of Microbiology and Immunology, Institute of Marine and Environmental Technology, University of Maryland School of Medicine, Baltimore, MD 21202, USA
| | - Akiko Koide
- Department of Medicine, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Shohei Koide
- Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - John T. McDevitt
- Department of Molecular Pathobiology, Division of Biomaterials, Bioengineering Institute, New York University College of Dentistry, New York, NY 10010, USA
- Department of Chemical and Biomolecular Engineering, NYU Tandon School of Engineering, Brooklyn, NY 11201, USA
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Aijaz J, Hussain S, Naseer F, Kanani F, Anis S, Sarfaraz S, Saeed S, Farooq H, Jamal S. Neutralizing Antibody Response to BBIBP-CorV in Comparison with COVID-19 Recovered, Unvaccinated Individuals in a Sample of the Pakistani Population. Vaccines (Basel) 2022; 10:vaccines10050692. [PMID: 35632448 PMCID: PMC9171576 DOI: 10.3390/vaccines10050692] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 04/20/2022] [Accepted: 04/25/2022] [Indexed: 02/04/2023] Open
Abstract
Fifty five percent of the Pakistani population is still unvaccinated with the two-dose protocol of COVID-19 vaccines. This study was undertaken to determine the seroconversion rate and antibody titers following the two-dose BBIBP-CorV protocol, and to compare these variables in unvaccinated, COVID-19 recovered individuals (total n = 180) at Indus Hospital and Health Network, Karachi. Pseudotyped lentivirus antibody neutralization assays and SARS-CoV-2 IgG Quant II (Abbott) immunoassays were performed 4-8 weeks following the second dose of the BBIBP-CorV or PCR positivity/onset of symptoms of COVID-19. Seroconversion rate, using neutralization assays, in vaccinated individuals was lower (78%) than that in unvaccinated, COVID-19-recovered individuals with moderate to severe infection (97%). Prior PCR positivity increased serocoversion rate to 98% in vaccinated individuals. Immunoassays did not, however, reveal significant inter-group differences in seroconversion rates (≥95% in all groups). Log10 mean antibody neutralizing titers following the two-dose BBIBP-CorV protocol (IC50 = 2.21) were found to be significantly less than those succeeding moderate to severe COVID-19 (IC50 = 2.94). Prior SARS-CoV-2 positivity significantly increased post-vaccination antibody titers (IC50 = 2.82). Similar inter-group titer differences were obtained using the immunoassay. BBIBP-CorV post-vaccination titers may, thus, be lower than those following natural, moderate to severe infection, while prior SARS-CoV-2 exposure increases these titers to more closely approximate the latter.
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Affiliation(s)
- Javeria Aijaz
- Molecular Biology Section, Pathology Department, Indus Hospital & Health Network, Karachi 75190, Pakistan; (S.H.); (F.N.)
- Correspondence: ; Tel.: +92-21-35112709 (ext. 2788)
| | - Shakir Hussain
- Molecular Biology Section, Pathology Department, Indus Hospital & Health Network, Karachi 75190, Pakistan; (S.H.); (F.N.)
| | - Fouzia Naseer
- Molecular Biology Section, Pathology Department, Indus Hospital & Health Network, Karachi 75190, Pakistan; (S.H.); (F.N.)
| | - Fatima Kanani
- Chemical Pathology Section, Pathology Department, Indus Hospital & Health Network, Karachi 75190, Pakistan; (F.K.); (H.F.)
| | - Sabiha Anis
- Immunology Section, Pathology Department, Indus Hospital & Health Network, Karachi 75190, Pakistan;
| | - Samreen Sarfaraz
- Infectious Diseases Department, Indus Hospital & Health Network, Karachi 75190, Pakistan;
| | - Saima Saeed
- Pulmonology Department, Indus Hospital & Health Network, Karachi 75190, Pakistan;
| | - Hina Farooq
- Chemical Pathology Section, Pathology Department, Indus Hospital & Health Network, Karachi 75190, Pakistan; (F.K.); (H.F.)
| | - Saba Jamal
- Pathology Department, Indus Hospital & Health Network, Karachi 75190, Pakistan;
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